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Autor/inn/enSass, Daniel A.; Seal, Andrea K.; Martin, Nancy K.
TitelPredicting Teacher Retention Using Stress and Support Variables
QuelleIn: Journal of Educational Administration, 49 (2011) 2, S.200-215 (16 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0957-8234
DOI10.1108/09578231111116734
SchlagwörterTeacher Persistence; Elementary School Teachers; Middle School Teachers; Secondary School Teachers; Faculty Mobility; Anxiety; Job Satisfaction; Labor Turnover; Teaching Load; Student Behavior; Learner Engagement; Social Support Groups; Teacher Effectiveness; Self Efficacy; Teacher Burnout; Structural Equation Models
AbstractPurpose: Teacher attrition is a significant international concern facing administrators. Although a considerable amount of literature exists related to the causes of job dissatisfaction and teachers leaving the profession, relatively few theoretical models test the complex interrelationships between these variables. The goal of this paper is to partially fill this gap. Design/methodology/approach: Using a sample of 479 certified teachers who taught either at elementary (55.3 percent), middle (33.0 percent), or high (10.6 percent) school levels, three competing theoretical models with variables related to teacher stress or support were tested using structural equation modeling to predict job dissatisfaction and eventual intention to quit. Findings: The most parsimonious model revealed that student stressors completely mediated the relationship between teacher efficacy related to student engagement and job dissatisfaction, with social support superiors and student stressors being best predictors of job dissatisfaction. Although important within the school system, teacher workload stressors and social support from colleagues did not contribute significantly to the models. Originality/value: Theoretical models are needed to assist school administrators and researchers in developing programs to improve teacher retention and to predict those teachers who will struggle within the profession. Moreover, developing and testing comprehensive models associated with variables related to teacher and student success is critical for a well functioning school system. (Contains 1 table, 3 figures, and 3 notes.) (As Provided).
AnmerkungenEmerald. One Mifflin Place Suite 400, Harvard Square, Cambridge, MA 02138. Tel: 617-576-5782; e-mail: america@emeraldinsight.com; Web site: http://www.emeraldinsight.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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